Martin S. Andersen

48 papers B 2Journal 35Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast Kernel-Based Regularized System Identification Using Bayesian Optimization. IEEE Trans. Autom. Control. Lujing Chen, Tianshi Chen, Martin S. Andersen
2026	J	`jnl`	Informativity and Identifiability for Identification of Networks of Dynamical Systems. CoRR Anders Hansson, João Victor Galvão da Mata, Martin S. Andersen
2025	J	`jnl`	A New Matrix Truncation Method for Improving Approximate Factorization Preconditioners. Numer. Linear Algebra Appl. Andreas A. Bock, Martin S. Andersen
2025	J	`jnl`	Connecting Kaporin's condition number and the Bregman log determinant divergence. CoRR Andreas A. Bock, Martin S. Andersen
2025	—	`conf`	Efficient and Stable Implementation of Algorithms for Kernel-based Regularized System Identification using Givens-vector Representation. CDC Zhuohua Shen, Junpeng Zhang, Martin S. Andersen, Tianshi Chen
2025	J	`jnl`	Identifiability and Maximum Likelihood Estimation for System Identification of Networks of Dynamical Systems. CoRR Anders Hansson, João Victor Galvão da Mata, Martin S. Andersen
2025	J	`jnl`	Maximum Likelihood Estimation of Dynamic Sub-Networks with Missing Data. CoRR João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen
2025	J	`jnl`	Numerically Efficient and Stable Algorithms for Kernel-Based Regularized System Identification Using Givens-Vector Representation. CoRR Zhuohua Shen, Junpeng Zhang, Martin S. Andersen, Tianshi Chen
2024	—	`conf`	Direct System Identification of Dynamical Networks with Partial Measurements: A Maximum Likelihood Approach. ECC João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen
2024	J	`jnl`	Preconditioner Design via Bregman Divergences. SIAM J. Matrix Anal. Appl. Andreas A. Bock, Martin S. Andersen
2024	J	`jnl`	Sampling Strategies in Bayesian Inversion: A Study of RTO and Langevin Methods. CoRR Remi Laumont, Yiqiu Dong, Martin S. Andersen
2023	J	`jnl`	A New Matrix Truncation Method for Improving Approximate Factorisation Preconditioners. CoRR Andreas A. Bock, Martin S. Andersen
2023	B	`conf`	AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. DSAA João Victor Galvão da Mata, Martin S. Andersen
2023	J	`jnl`	AdaSub: Stochastic Optimization Using Second-Order Information in Low-Dimensional Subspaces. CoRR João Victor Galvão da Mata, Martin S. Andersen
2023	—	`conf`	An Efficient Implementation for Kernel-Based Regularized System Identification with Periodic Input Signals. CDC Zhuohua Shen, Yu Xu, Martin S. Andersen, Tianshi Chen
2023	J	`jnl`	Bayesian Inference with Projected Densities. SIAM/ASA J. Uncertain. Quantification Jasper M. Everink, Yiqiu Dong, Martin S. Andersen
2023	J	`jnl`	Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach. CoRR João Victor Galvão da Mata, Anders Hansson, Martin S. Andersen
2023	B	`conf`	Link Prediction on Graphs Using NLP Embedding. DSAA João Victor Galvão da Mata, Martin S. Andersen
2023	J	`jnl`	Preconditioner Design via the Bregman Divergence. CoRR Andreas A. Bock, Martin S. Andersen
2023	—	`conf`	Towards Scalable Kernel-Based Regularized System Identification. CDC Lujing Chen, Tianshi Chen, Utkarsh Detha, Martin S. Andersen
2022	J	`jnl`	A Bayesian Approach to CT Reconstruction with Uncertain Geometry. CoRR Frederik H. Pedersen, Jakob Sauer Jørgensen, Martin S. Andersen
2022	J	`jnl`	Low-rank flat-field correction for artifact reduction in spectral computed tomography. CoRR Katrine O. Bangsgaard, Genoveva Burca, Evelina Ametova, Martin S. Andersen, Jakob Sauer Jørgensen
2021	J	`jnl`	On semiseparable kernels and efficient implementation for regularized system identification and function estimation. Autom. Tianshi Chen, Martin S. Andersen
2021	J	`jnl`	Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition. CoRR Alessandro Perelli, Martin S. Andersen
2020	—	`conf`	An Image Registration Framework for Discontinuous Mappings Along Cracks. WBIR Hari Om Aggrawal, Martin S. Andersen, Jan Modersitzki
2020	J	`jnl`	Smoothing Splines and Rank Structured Matrices: Revisiting the Spline Kernel. SIAM J. Matrix Anal. Appl. Martin S. Andersen, Tianshi Chen
2019	J	`jnl`	Spectral Computed Tomography with Linearization and Preconditioning. SIAM J. Sci. Comput. Yunyi Hu, Martin S. Andersen, James G. Nagy
2018	J	`jnl`	A Convex Reconstruction Model for X-Ray Tomographic Imaging With Uncertain Flat-Fields. IEEE Trans. Computational Imaging Hari Om Aggrawal, Martin S. Andersen, Sean D. Rose, Emil Y. Sidky
2018	J	`jnl`	Distributed Semidefinite Programming With Application to Large-Scale System Analysis. IEEE Trans. Autom. Control. Sina Khoshfetrat Pakazad, Anders Hansson, Martin S. Andersen, Anders Rantzer
2017	J	`jnl`	Distributed primal-dual interior-point methods for solving tree-structured coupled convex problems using message-passing. Optim. Methods Softw. Sina Khoshfetrat Pakazad, Anders Hansson, Martin S. Andersen, Isak Nielsen
2017	J	`jnl`	Inexact proximal Newton methods for self-concordant functions. Math. Methods Oper. Res. Jinchao Li, Martin S. Andersen, Lieven Vandenberghe
2017	J	`jnl`	Tomographic image reconstruction using training images. J. Comput. Appl. Math. Sara Soltani, Martin S. Andersen, Per Christian Hansen
2015	J	`jnl`	Chordal Graphs and Semidefinite Optimization. Found. Trends Optim. Lieven Vandenberghe, Martin S. Andersen
2015	J	`jnl`	Distributed solutions for loosely coupled feasibility problems using proximal splitting methods. Optim. Methods Softw. Sina Khoshfetrat Pakazad, Martin S. Andersen, Anders Hansson
2015	J	`jnl`	Tomographic Image Reconstruction using Dictionary Priors. CoRR Sara Soltani, Martin S. Andersen, Per Christian Hansen
2014	—	`conf`	Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2014	J	`jnl`	Decomposition in Conic Optimization with Partially Separable Structure. SIAM J. Optim. Yifan Sun, Martin S. Andersen, Lieven Vandenberghe
2014	J	`jnl`	Generalized row-action methods for tomographic imaging. Numer. Algorithms Martin S. Andersen, Per Christian Hansen
2014	—	`conf`	Input-constrained model predictive control via the alternating direction method of multipliers. ECC Leo Emil Sokoler, Gianluca Frison, Martin S. Andersen, John Bagterp Jørgensen
2014	J	`jnl`	Robust Stability Analysis of Sparsely Interconnected Uncertain Systems. IEEE Trans. Autom. Control. Martin S. Andersen, Sina Khoshfetrat Pakazad, Anders Hansson, Anders Rantzer
2014	J	`jnl`	System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
2013	J	`jnl`	Logarithmic barriers for sparse matrix cones. Optim. Methods Softw. Martin S. Andersen, Joachim Dahl, Lieven Vandenberghe
2012	—	`conf`	A convex relaxation of a dimension reduction problem using the nuclear norm. CDC Christian Lyzell, Martin S. Andersen, Martin Enqvist
2012	—	`conf`	Distributed robust stability analysis of interconnected uncertain systems. CDC Martin S. Andersen, Anders Hansson, Sina Khoshfetrat Pakazad, Anders Rantzer
2012	J	`jnl`	Logarithmic barriers for sparse matrix cones CoRR Martin S. Andersen, Joachim Dahl, Lieven Vandenberghe
2012	—	`conf`	Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
2010	J	`jnl`	Implementation of nonsymmetric interior-point methods for linear optimization over sparse matrix cones. Math. Program. Comput. Martin S. Andersen, Joachim Dahl, Lieven Vandenberghe
2010	—	`conf`	Linear matrix inequalities with chordal sparsity patterns and applications to robust quadratic optimization. CACSD Martin S. Andersen, Lieven Vandenberghe, Joachim Dahl